Abstract

BackgroundRheumatoid arthritis (RA) considerably impacts patients’ lives. Patients’ confidence in their ability to manage this impact, or self-efficacy, can be supported with self-management interventions. One approach is to use mobile health (mHealth) applications, which can additionally provide insight into disease impact by remotely monitoring patient-reported outcomes. However, user engagement with mHealth-apps is variable, and concerns exist that remote monitoring might make patients overly attentive to symptoms.MethodsApp-based Education and GOal setting in RA (AEGORA) is a multicentre, pragmatic randomised controlled trial investigating an mHealth-based self-management intervention to improve self-efficacy and remotely monitor disease impact in patients with RA. The intervention is provided via an adapted version of the application Sidekick (Sidekick Health, Reykjavik, Iceland) and consists of education, goal setting, lifestyle advice, and remote assessment of the Rheumatoid Arthritis Impact of Disease (RAID) questionnaire.Across two centres, 120 patients will be recruited and randomised (2:1:1) to usual care or intervention group A/B (study app with weekly/monthly prompts to complete the RAID, respectively). Outcomes are assessed at baseline and after 4–6 months. The primary endpoint is a clinically important improvement (≥ 5.5/110) in the Arthritis Self-Efficacy Scale in the combined intervention group compared to usual care. Secondary endpoints are (a) non-inferiority regarding pain catastrophising, as a measure of symptom hypervigilance; (b) superiority regarding the RAID, sleep quality, and physical activity; and (c) participant engagement with the study app. Finally, the relationship between engagement, prompted frequency of RAID questionnaires, and the primary and secondary outcomes will be explored.DiscussionThe AEGORA trial aims to study the effectiveness of mHealth-based, multicomponent self-management support to improve self-efficacy in the context of RA, while providing potentially valuable insights into temporal disease activity dynamics and the feasibility and possible negative effects of remote symptom monitoring in this population.Trial registrationClinicaltrials.gov NCT05888181. Retrospectively registered on March 23, 2023. Study inclusion started on March 3, 2023.

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